https://github.com/JavaFXpert/llm-grovers-search-party

Leveraging Qiskit, GPT-3 and LangChain to demonstrate Grover's algorithm
https://github.com/JavaFXpert/llm-grovers-search-party

Last synced: 6 days ago
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Leveraging Qiskit, GPT-3 and LangChain to demonstrate Grover's algorithm

• Host: GitHub
• URL: https://github.com/JavaFXpert/llm-grovers-search-party
• Owner: JavaFXpert
• License: apache-2.0
• Created: 2022-11-26T15:58:11.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-11-26T16:22:53.000Z (over 2 years ago)
• Last Synced: 2024-11-06T15:43:55.403Z (5 months ago)
• Language: Jupyter Notebook
• Size: 17.6 KB
• Stars: 10
• Watchers: 2
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# llm-grovers-search-party

Leveraging Qiskit, OpenAI and LangChain to demonstrate Grover's algorithm

The following video discusses how to implement Grover's algorithm to solve a boolean satisfiability problem.

[Dinner Party using Grover's Algorithm — Coding with Qiskit S2E5](https://www.youtube.com/watch?v=ePr2MgQkqL0)

In the video, a boolean expression is manually constructed from a narrative that involves inviting friends to a dinner party.

This repository contains an update Jupyter notebook that provides the ability to generate the boolean expression from a narrative. A large language model from [OpenAI](https://openai.com/), as well as the [LangChain](https://github.com/hwchase17/langchain) library, are leveraged to accomplish this.